DocumentCode
72907
Title
Segment Adaptive Gradient Angle Interpolation
Author
Zwart, Christine M. ; Frakes, D.H.
Author_Institution
Sch. of Biol. & Health Syst. Eng., Arizona State Univ., Tempe, AZ, USA
Volume
22
Issue
8
fYear
2013
fDate
Aug. 2013
Firstpage
2960
Lastpage
2969
Abstract
We introduce a new edge-directed interpolator based on locally defined, straight line approximations of image isophotes. Spatial derivatives of image intensity are used to describe the principal behavior of pixel-intersecting isophotes in terms of their slopes. The slopes are determined by inverting a tridiagonal matrix and are forced to vary linearly from pixel-to-pixel within segments. Image resizing is performed by interpolating along the approximated isophotes. The proposed method can accommodate arbitrary scaling factors, provides state-of-the-art results in terms of PSNR as well as other quantitative visual quality metrics, and has the advantage of reduced computational complexity that is directly proportional to the number of pixels.
Keywords
computational complexity; image resolution; image segmentation; interpolation; PSNR; computational complexity; edge-directed interpolator; image intensity; image isophotes; image resizing; image resolution; pixel-intersecting isophotes; pixel-to-pixel; quantitative visual quality metrics; segment adaptive gradient angle interpolation; spatial derivatives; Equations; Image edge detection; Image resolution; Interpolation; Kernel; Mathematical model; Vectors; Directional interpolation; gradient angle; image upsampling; isophote; piecewise linear; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/TIP.2012.2228493
Filename
6357284
Link To Document